A note on the usefulness of linguistic variables for differentiating between some respiratory diseases
type: Item
instance of: scholarly article
title: A note on the usefulness of linguistic variables for differentiating between some respiratory diseases
zbMATH Open document ID: 0586.62183
DOI: 10.1016/0165-0114(86)90016-3
author: Ewa Krusińska
author: Jerzy Liebhart
published in: Fuzzy Sets and Systems
publication date: 1986-01-01T00:00:00Z
review text: An uncommon application of linguistic variables as predictor variables for obtaining classical discriminant functions is presented. Commonly only quantitative features are used as predictor variables for evaluating linear, quadratic or canonical discriminant functions because of the assumption of normality. This paper deals with results of discrimination between various respiratory diseases using quantitative and linguistic variables together. Linguistic variables in medical applications were obtained by \textit{L. Saitta} and \textit{P. Torasso} [ibid. 5, 245-258 (1981; Zbl 0455.92003)] as a conversion of the groups of original, discrete features. The presented method enables the simultaneous use of quantitative and qualitative features to the description of the patient's state. For this reason linguistic variables seem to be an efficient tool in medical applications.
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 92C50
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 3940568
zbMATH Keywords: medical diagnosis
zbMATH Keywords: linguistic variables
zbMATH Keywords: predictor variables
zbMATH Keywords: discriminant functions
zbMATH Keywords: respiratory diseases
MaRDI profile type: Publication
full work available at URL: 0165-0114(86)90016-3
OpenAlex ID: W2163311338
cites work: Discriminant Analysis
cites work: Q5511769
cites work: Fuzzy characterization of coronary disease
cites work: The concept of a linguistic variable and its application to approximate reasoning. III
description: scientific article; zbMATH DE number 3940568